V. Zaccolo
Impact in
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- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Particle physics theoretical and experimental studies
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- IoT and Edge/Fog Computing
- Caching and Content Delivery
Papers in
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- Distributed and Parallel Computing Systems 2
- Advanced Data Storage Technologies 1
- IoT and Edge/Fog Computing 1
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- Cloud Computing and Resource Management 2
- Co-authors
- S. Bagnasco (2 shared papers)S. Vallero (2 shared papers)L. Zangrando (1 shared paper)Sonia Taneja (1 shared paper)Álvaro López García (1 shared paper)Stefano Dal Pra (1 shared paper)Vincent Llorens (1 shared paper)Giacinto Donvito (1 shared paper)
- Journals
- Nuclear Physics A (1 paper)SHILAP Revista de lepidopterología (1 paper)Journal of Physics Conference Series (1 paper)CERN Bulletin (1 paper)
In The Last Decade
V. Zaccolo
4 papers receiving 10 citations
Peers
Comparison fields: 5 of 7
- Nuclear and High Energy Physics 5
- Computer Networks and Communications 4
- Management Information Systems 1
- Industrial and Manufacturing Engineering 1
- Computer Vision and Pattern Recognition 2
Countries citing papers authored by V. Zaccolo
This map shows the geographic impact of V. Zaccolo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by V. Zaccolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Zaccolo more than expected).
Fields of papers citing papers by V. Zaccolo
This network shows the impact of papers produced by V. Zaccolo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by V. Zaccolo. The network helps show where V. Zaccolo may publish in the future.
Co-authors
The 10 scholars most cited alongside V. Zaccolo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 4 | |
| 2 | 2017 | 4 | |
| 3 | Charged-Particle Multiplicity Distributions over Wide Pseudorapidity Range in Proton-Proton and Proton-Lead Collisions with ALICE | 2015 | 1 |
| 4 | 2019 | 1 |
About V. Zaccolo
V. Zaccolo is a scholar working on Computer Networks and Communications, Information Systems, Nuclear and High Energy Physics, Aerospace Engineering and Infectious Diseases, having authored 4 papers that have together received 10 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (2 papers), Distributed and Parallel Computing Systems (2 papers), Particle physics theoretical and experimental studies (2 papers), High-Energy Particle Collisions Research (2 papers), Nuclear reactor physics and engineering (1 paper), Advanced Data Storage Technologies (1 paper), Quantum Chromodynamics and Particle Interactions (1 paper) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (5 citations), Computer Networks and Communications (4 citations), Management Information Systems (1 citation), Industrial and Manufacturing Engineering (1 citation) and Computer Vision and Pattern Recognition (2 citations). V. Zaccolo has collaborated with scholars based in Italy, Canada and Spain. Frequent co-authors include S. Bagnasco, S. Vallero, L. Zangrando, Sonia Taneja, Álvaro López García, Stefano Dal Pra, Vincent Llorens, Giacinto Donvito, M. Sgaravatto and Davide Salomoni. Their work appears in journals such as Nuclear Physics A, SHILAP Revista de lepidopterología, Journal of Physics Conference Series and CERN Bulletin.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.